Numpy:获取有效区域的边界角点

import numpy as np

# 读取图像数据
image = np.array([[1, 1, 1, 1, 1],
                  [1, 2, 3, 2, 1],
                  [1, 3, 6, 3, 1],
                  [1, 2, 3, 2, 1],
                  [1, 1, 1, 1, 1]])

# 使用Sobel算子进行边缘检测
sobel_x = np.abs(np.sobel(image, 1, 0))
sobel_y = np.abs(np.sobel(image, 0, 1))

# 获取边界角点
corners = np.where((sobel_x > threshold) & (sobel_y > threshold))

# 输出边界角点
print(corners)

import cv2
import numpy as np

# 读取图像数据
image = cv2.imread('image.jpg', 0)

# 使用Canny算子进行边缘检测
edges = cv2.Canny(image, threshold1, threshold2)

# 获取边界角点
corners = np.where(edges != 0)

# 输出边界角点
print(corners)